Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
bert
political-nlp
domain-adaptation
political-debates
text-embeddings-inference
Instructions to use ddore14/Sentence-RooseBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ddore14/Sentence-RooseBERT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ddore14/Sentence-RooseBERT") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
6113166 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a649deb01156bb8da3ab1696f1e8bd669abf9eb2061c66e5c7389bb738bbb9f0
size 7377
|